Triple

T2944760
Position Surface form Disambiguated ID Type / Status
Subject Bryant–Denny Stadium E79473 entity
Predicate locatedIn P40 FINISHED
Object Tuscaloosa, Alabama E67247 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tuscaloosa, Alabama | Statement: [Bryant–Denny Stadium, locatedIn, Tuscaloosa, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuscaloosa, Alabama
Context triple: [Bryant–Denny Stadium, locatedIn, Tuscaloosa, Alabama]
  • A. Tuscaloosa, Alabama chosen
    Tuscaloosa, Alabama is a city in western Alabama known as the home of the University of Alabama and a regional center for education, healthcare, and industry.
  • B. Montevallo, Alabama
    Montevallo, Alabama is a small city in central Alabama best known as the home of the University of Montevallo, the state's only public liberal arts university.
  • C. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • D. Montgomery, Alabama
    Montgomery, Alabama is the state capital known as a pivotal center of the American civil rights movement, including events such as the Montgomery Bus Boycott.
  • E. Prattville
    Prattville is a city in central Alabama known for its historic downtown, proximity to Montgomery, and strong ties to the manufacturing and paper industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f85c5e0c8190a91100aadb8b8806 completed March 11, 2026, 11:18 p.m.
Created at: March 8, 2026, 2:56 p.m.